{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T21:18:54Z","timestamp":1780607934852,"version":"3.54.1"},"reference-count":74,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T00:00:00Z","timestamp":1725235200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T00:00:00Z","timestamp":1725235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s11760-024-03535-0","type":"journal-article","created":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T11:02:59Z","timestamp":1725274979000},"page":"9141-9155","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Privacy-preserving human activity recognition using principal component-based wavelet CNN"],"prefix":"10.1007","volume":"18","author":[{"given":"Nadira","family":"Pervin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tahsina Farah","family":"Sanam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hafiz","family":"Imtiaz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,9,2]]},"reference":[{"issue":"3","key":"3535_CR1","doi-asserted-by":"publisher","first-page":"1192","DOI":"10.1109\/SURV.2012.110112.00192","volume":"15","author":"OD Lara","year":"2013","unstructured":"Lara, O.D., Labrador, M.A.: A survey on human activity recognition using wearable sensors. IEEE Commun. Surv. Tutor. 15(3), 1192\u20131209 (2013). https:\/\/doi.org\/10.1109\/SURV.2012.110112.00192","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"3535_CR2","doi-asserted-by":"publisher","first-page":"1082","DOI":"10.1109\/TKDE.2007.1042","volume":"20","author":"J Yin","year":"2008","unstructured":"Yin, J., Yang, Q., Pan, J.: Sensor-based abnormal human-activity detection. Knowl. Data Eng. IEEE Trans. 20, 1082\u20131090 (2008). https:\/\/doi.org\/10.1109\/TKDE.2007.1042","journal-title":"Knowl. Data Eng. IEEE Trans."},{"issue":"6","key":"3535_CR3","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1109\/TSMCC.2012.2198883","volume":"42","author":"L Chen","year":"2012","unstructured":"Chen, L., Hoey, J., Nugent, C., Cook, D., Yu, Z.: Sensor-based activity recognition. IEEE Trans. Syst. Man Cybernet. Part C Appl. Rev. 42(6), 790\u2013808 (2012). https:\/\/doi.org\/10.1109\/TSMCC.2012.2198883","journal-title":"IEEE Trans. Syst. Man Cybernet. Part C Appl. Rev."},{"key":"3535_CR4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3080401","author":"D Wang","year":"2021","unstructured":"Wang, D., Yang, J., Cui, W., Xie, L., Sun, S.: Multimodal CSI-based human activity recognition using gans. IEEE Internet Things J. (2021). https:\/\/doi.org\/10.1109\/JIOT.2021.3080401","journal-title":"IEEE Internet Things J."},{"issue":"6","key":"3535_CR5","doi-asserted-by":"publisher","first-page":"4155","DOI":"10.1109\/TAP.2022.3175214","volume":"70","author":"Y Liu","year":"2022","unstructured":"Liu, Y., Dong, J., Huangfu, W., Liu, J., Long, K.: 3.5 ghz outdoor radio signal strength prediction with machine learning based on low-cost geographic features. IEEE Trans. Antennas Propag. 70(6), 4155\u20134170 (2022). https:\/\/doi.org\/10.1109\/TAP.2022.3175214","journal-title":"IEEE Trans. Antennas Propag."},{"key":"3535_CR6","doi-asserted-by":"publisher","first-page":"10773","DOI":"10.1109\/JIOT.2020.2986685","volume":"7","author":"L Zhang","year":"2020","unstructured":"Zhang, L., Chen, Z., Cui, W., Li, B., Chen, C., Cao, Z., Gao, K.: Wifi-based indoor robot positioning using deep fuzzy forests. IEEE Internet Things J. 7, 10773\u201310781 (2020). https:\/\/doi.org\/10.1109\/JIOT.2020.2986685","journal-title":"IEEE Internet Things J."},{"key":"3535_CR7","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph20064998","author":"R Guo","year":"2023","unstructured":"Guo, R., Li, H., Han, D., Liu, R.: Feasibility analysis of using channel state information (CSI) acquired from wi-fi routers for construction worker fall detection. Int. J. Environ. Res. Publ. Health (2023). https:\/\/doi.org\/10.3390\/ijerph20064998","journal-title":"Int. J. Environ. Res. Publ. Health"},{"key":"3535_CR8","doi-asserted-by":"publisher","DOI":"10.1145\/3604941","author":"Q Gao","year":"2024","unstructured":"Gao, Q., Fu, H., Zhang, K., Trajcevski, G., Teng, X., Zhou, F.: Inferring real mobility in presence of fake check-ins data. ACM Trans. Intell. Syst. Technol. (2024). https:\/\/doi.org\/10.1145\/3604941","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"3535_CR9","doi-asserted-by":"publisher","DOI":"10.1145\/3310194","author":"Y Ma","year":"2019","unstructured":"Ma, Y., Zhou, G., Wang, S.: Wifi sensing with channel state information: A survey. ACM Comput. Surv. (2019). https:\/\/doi.org\/10.1145\/3310194","journal-title":"ACM Comput. Surv."},{"issue":"C","key":"3535_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.phycom.2018.10.008","volume":"32","author":"R Melki","year":"2019","unstructured":"Melki, R., Noura, H.N., Mansour, M.M., Chehab, A.: A survey on OFDM physical layer security. Phys. Commun. 32(C), 1\u201330 (2019). https:\/\/doi.org\/10.1016\/j.phycom.2018.10.008","journal-title":"Phys. Commun."},{"key":"3535_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2019.103281","volume":"87","author":"HFT Ahmed","year":"2020","unstructured":"Ahmed, H.F.T., Ahmad, H., Vaithilingam, C.A.: Device free human gesture recognition using wi-fi CSI: a survey. Eng. Appl. Artif. Intell. 87, 103281 (2020)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"3535_CR12","doi-asserted-by":"crossref","unstructured":"Kambala, V.K., Jonnadula, H.: A multi-task learning based hybrid prediction algorithm for privacy preserving human activity recognition framework. Bull. Electric. Eng. Inform. 10(6), 3191\u20133201(2021)","DOI":"10.11591\/eei.v10i6.3204"},{"key":"3535_CR13","doi-asserted-by":"publisher","unstructured":"Kumar, K., Harikiran, J.: Privacy preserving human activity recognition framework using an optimized prediction algorithm. IAES Int. J. Artif. Intell. 11, 254 (2022) https:\/\/doi.org\/10.11591\/ijai.v11.i1.pp254-264","DOI":"10.11591\/ijai.v11.i1.pp254-264"},{"key":"3535_CR14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3026709","author":"Z Wu","year":"2020","unstructured":"Wu, Z., Wang, H., Wang, Z., Jin, H., Wang, Z.: Privacy-preserving deep action recognition: An adversarial learning framework and a new dataset. IEEE Trans. Pattern Anal. Mach. Intell. (2020). https:\/\/doi.org\/10.1109\/TPAMI.2020.3026709","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3535_CR15","doi-asserted-by":"publisher","unstructured":"Hao, Y., Shi, Z., Liu, Y.: A wireless-vision dataset for privacy preserving human activity recognition. In: 2020 Fourth International conference on multimedia computing, networking and applications (MCNA), pp. 97\u2013105 (2020). https:\/\/doi.org\/10.1109\/MCNA50957.2020.9264288","DOI":"10.1109\/MCNA50957.2020.9264288"},{"key":"3535_CR16","unstructured":"Anguita, D., Ghio, A., Oneto, L., Parra, X., Reyes-Ortiz, J.L.: A public domain dataset for human activity recognition using smartphones. In: The European symposium on artificial neural networks (2013). https:\/\/api.semanticscholar.org\/CorpusID:6975432"},{"key":"3535_CR17","doi-asserted-by":"publisher","unstructured":"Lyu, L., He, X., Law, Y.W., Palaniswami, M.: Privacy-preserving collaborative deep learning with application to human activity recognition. In: Proceedings of the 2017 ACM on conference on information and knowledge management, pp. 1219\u20131228 (2017). https:\/\/doi.org\/10.1145\/3132847.3132990","DOI":"10.1145\/3132847.3132990"},{"key":"3535_CR18","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1561\/0400000042","volume":"9","author":"C Dwork","year":"2014","unstructured":"Dwork, C., Roth, A.: The algorithmic foundations of differential privacy. Found. Trends Theor. Comput. Sci. 9, 211\u2013407 (2014)","journal-title":"Found. Trends Theor. Comput. Sci."},{"key":"3535_CR19","doi-asserted-by":"publisher","first-page":"104056","DOI":"10.1016\/j.dsp.2023.104056","volume":"138","author":"IA Showmik","year":"2023","unstructured":"Showmik, I.A., Sanam, T.F., Imtiaz, H.: Human activity recognition from wi-fi CSI data using principal component-based wavelet CNN. Digital Signal Processing. 138, 104056 (2023). https:\/\/doi.org\/10.1016\/j.dsp.2023.104056","journal-title":"Digital Signal Processing."},{"key":"3535_CR20","doi-asserted-by":"publisher","first-page":"154935","DOI":"10.1109\/ACCESS.2019.2947024","volume":"7","author":"L Guo","year":"2019","unstructured":"Guo, L., Wang, L., Lin, C., Liu, J., Lu, B., Fang, J., Liu, Z., Shan, Z., Yang, J., Guo, S.: Wiar: a public dataset for wifi-based activity recognition. IEEE Access. 7, 154935\u2013154945 (2019). https:\/\/doi.org\/10.1109\/ACCESS.2019.2947024","journal-title":"IEEE Access."},{"key":"3535_CR21","doi-asserted-by":"publisher","first-page":"106534","DOI":"10.1016\/j.dib.2020.106534","volume":"33","author":"B Alsaify","year":"2020","unstructured":"Alsaify, B., Almazari, M., Alazrai, R., Daoud, M.: A dataset for wi-fi-based human activity recognition in line-of-sight and non-line-of-sight indoor environments. Data Brief 33, 106534 (2020). https:\/\/doi.org\/10.1016\/j.dib.2020.106534","journal-title":"Data Brief"},{"issue":"3","key":"3535_CR22","doi-asserted-by":"publisher","first-page":"1765","DOI":"10.1109\/TCYB.2021.3126831","volume":"53","author":"L Zhang","year":"2023","unstructured":"Zhang, L., Cui, W., Li, B., Chen, Z., Wu, M., Gee, T.S.: Privacy-preserving cross-environment human activity recognition. IEEE Trans. Cybernet. 53(3), 1765\u20131775 (2023). https:\/\/doi.org\/10.1109\/TCYB.2021.3126831","journal-title":"IEEE Trans. Cybernet."},{"key":"3535_CR23","doi-asserted-by":"publisher","first-page":"75","DOI":"10.4018\/IJACI.2016070104","volume":"7","author":"G Kale","year":"2016","unstructured":"Kale, G., Patil, V.: A study of vision based human motion recognition and analysis. Int. J. Ambient Comput. Intell. 7, 75\u201392 (2016). https:\/\/doi.org\/10.4018\/IJACI.2016070104","journal-title":"Int. J. Ambient Comput. Intell."},{"key":"3535_CR24","doi-asserted-by":"publisher","unstructured":"Zachariah, L., Maharajan, K.: Review on vision based human motion detection using deep learning. In: 2023 4th International conference on smart electronics and communication (ICOSEC), EEE, pp. 1279\u20131287 (2023). https:\/\/doi.org\/10.1109\/ICOSEC58147.2023.10276103","DOI":"10.1109\/ICOSEC58147.2023.10276103"},{"key":"3535_CR25","doi-asserted-by":"publisher","DOI":"10.3390\/bdcc6030084","author":"MZ Karakusak","year":"2022","unstructured":"Karakusak, M.Z., Kivrak, H., Ates, H.F., Ozdemir, M.K.: RSS-based wireless lan indoor localization and tracking using deep architectures. Big Data Cognit. Comput. (2022). https:\/\/doi.org\/10.3390\/bdcc6030084","journal-title":"Big Data Cognit. Comput."},{"key":"3535_CR26","doi-asserted-by":"publisher","DOI":"10.3390\/s20041210","author":"J Liu","year":"2020","unstructured":"Liu, J., Teng, G., Hong, F.: Human activity sensing with wireless signals: a survey. Sensors. (2020). https:\/\/doi.org\/10.3390\/s20041210","journal-title":"Sensors."},{"key":"3535_CR27","doi-asserted-by":"publisher","first-page":"59947","DOI":"10.1109\/ACCESS.2020.2982277","volume":"8","author":"TF Sanam","year":"2020","unstructured":"Sanam, T.F., Godrich, H.: A multi-view discriminant learning approach for indoor localization using amplitude and phase features of CSI. IEEE Access 8, 59947\u201359959 (2020)","journal-title":"IEEE Access"},{"key":"3535_CR28","doi-asserted-by":"publisher","unstructured":"Zein, H.E., Mourad-Chehade, F., Amoud, H.: Leveraging wi-fi CSI data for fall detection: a deep learning approach. In: 2023 5th International conference on bio-engineering for smart technologies (BioSMART), 1\u20134 (2023). https:\/\/doi.org\/10.1109\/BioSMART58455.2023.10162090","DOI":"10.1109\/BioSMART58455.2023.10162090"},{"key":"3535_CR29","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.procs.2021.12.211","volume":"198","author":"A Zhuravchak","year":"2022","unstructured":"Zhuravchak, A., Kapshii, O., Pournaras, E.: Human activity recognition based on wi-fi CSI data -a deep neural network approach. Proc. Comput. Sci. 198, 59\u201366 (2022). https:\/\/doi.org\/10.1016\/j.procs.2021.12.211","journal-title":"Proc. Comput. Sci."},{"key":"3535_CR30","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2973272","author":"B Sheng","year":"2020","unstructured":"Sheng, B., Xiao, F., Sha, L., Sun, L.: Deep spatial-temporal model based cross-scene action recognition using commodity wifi. IEEE Internet of Things Journal (2020). https:\/\/doi.org\/10.1109\/JIOT.2020.2973272","journal-title":"IEEE Internet of Things Journal"},{"key":"3535_CR31","doi-asserted-by":"publisher","unstructured":"Elujide, I., Li, J., Shiran, A., Zhou, S., Liu, Y.: A real-time object detection for wifi csi-based multiple human activity recognition. In: 2023 IEEE 20th consumer communications and networking conference (CCNC), (2023). https:\/\/doi.org\/10.1109\/CCNC51644.2023.10059647","DOI":"10.1109\/CCNC51644.2023.10059647"},{"issue":"11","key":"3535_CR32","doi-asserted-by":"publisher","first-page":"2714","DOI":"10.1109\/TMC.2018.2878233","volume":"18","author":"Z Chen","year":"2019","unstructured":"Chen, Z., Zhang, L., Jiang, C., Cao, Z., Cui, W.: Wifi csi based passive human activity recognition using attention based blstm. IEEE Trans. Mob. Comput. 18(11), 2714\u20132724 (2019). https:\/\/doi.org\/10.1109\/TMC.2018.2878233","journal-title":"IEEE Trans. Mob. Comput."},{"key":"3535_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2021\/6654752","volume":"2021","author":"J Yang","year":"2021","unstructured":"Yang, J., Liu, Y., Liu, Z., Wu, Y., Li, T., Yang, Y.: A framework for human activity recognition based on wifi CSI signal enhancement. Int. J. Antennas Propag. 2021, 1\u201318 (2021). https:\/\/doi.org\/10.1155\/2021\/6654752","journal-title":"Int. J. Antennas Propag."},{"key":"3535_CR34","doi-asserted-by":"publisher","unstructured":"Wang, W., Liu, A., Shahzad, M., Ling, K., Lu, S.: Understanding and modeling of wifi signal based human activity recognition. In: Proceedings of the 21st annual international conference on mobile computing and networking, pp. 65\u201376 (2015). https:\/\/doi.org\/10.1145\/2789168.2790093","DOI":"10.1145\/2789168.2790093"},{"key":"3535_CR35","doi-asserted-by":"publisher","unstructured":"Jiang, W., Miao, C., Ma, F., Yao, S., Wang, Y., Yuan, Y., Xue, H., Song, C., Ma, X., Koutsonikolas, D., Xu, W., Su, L.: Towards environment independent device free human activity recognition. In: Proceedings of the 24th annual international conference on mobile computing and networking. MobiCom \u201918, pp. 289\u2013304. Association for Computing Machinery, New York (2018). https:\/\/doi.org\/10.1145\/3241539.3241548","DOI":"10.1145\/3241539.3241548"},{"key":"3535_CR36","doi-asserted-by":"publisher","unstructured":"Zhang, Z., Zhou, L., Zhao, X., Wang, G., Su, Y., Metzger, M., Zheng, H., Zhao, B.: On the validity of geosocial mobility traces. In: Proceedings of the 12th ACM workshop on hot topics in networks, HotNets 2013, pp. 1\u20137 (2013). https:\/\/doi.org\/10.1145\/2535771.2535786","DOI":"10.1145\/2535771.2535786"},{"key":"3535_CR37","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2013.28","author":"S Sigg","year":"2013","unstructured":"Sigg, S., Scholz, M., Shi, S., Ji, Y., Beigl, M.: Rf-sensing of activities from non-cooperative subjects in device-free recognition systems using ambient and local signals. IEEE Trans. Mobile Comput. (2013). https:\/\/doi.org\/10.1109\/TMC.2013.28","journal-title":"IEEE Trans. Mobile Comput."},{"key":"3535_CR38","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2020\/2501832","volume":"2020","author":"J Sun","year":"2020","unstructured":"Sun, J., Zhou, H., Du, C., Li, S.: Measurement and statistical analysis of distinguishable multipaths in underground tunnels. Int. J. Antennas Propag. 2020, 1\u201311 (2020). https:\/\/doi.org\/10.1155\/2020\/2501832","journal-title":"Int. J. Antennas Propag."},{"key":"3535_CR39","doi-asserted-by":"crossref","unstructured":"Rustam, F., Reshi, A., Ashraf, I., Mehmood, A., Ullah, D.S., Khan, D., Choi, G.S.: Sensor-based human activity recognition using deep stacked multilayered perceptron model. IEEE Access 8: 218898\u2013218910 (2020)","DOI":"10.1109\/ACCESS.2020.3041822"},{"key":"3535_CR40","doi-asserted-by":"publisher","DOI":"10.3390\/app11198860","author":"J Sch\u00e4fer","year":"2021","unstructured":"Sch\u00e4fer, J., Barrsiwal, B.R., Kokhkharova, M., Adil, H., Liebehenschel, J.: Human activity recognition using CSI information with Nexmon. Applied Sciences (2021). https:\/\/doi.org\/10.3390\/app11198860","journal-title":"Applied Sciences"},{"key":"3535_CR41","doi-asserted-by":"publisher","unstructured":"Abdelnasser, H., Youssef, M., Harras, K.A.: Wigest: A ubiquitous wifi-based gesture recognition system. In: 2015 IEEE conference on computer communications (INFOCOM), pp. 1472\u20131480 (2015). https:\/\/doi.org\/10.1109\/INFOCOM.2015.7218525","DOI":"10.1109\/INFOCOM.2015.7218525"},{"key":"3535_CR42","doi-asserted-by":"publisher","first-page":"975","DOI":"10.5120\/11250-6432","volume":"66","author":"D Somwanshi","year":"2013","unstructured":"Somwanshi, D., Dua, R., Mittal, P.: A survey on OFDM and IEEE Wlan standard. Int. J. Comput. Appl. 66, 975\u20138887 (2013). https:\/\/doi.org\/10.5120\/11250-6432","journal-title":"Int. J. Comput. Appl."},{"key":"3535_CR43","doi-asserted-by":"publisher","unstructured":"Man, C., Wang, W., Chi, Y., Wang, S.: The research of OFDM modulation and demodulation technology based on wavelet packet. In: Proceedings of 2011 6th international forum on strategic technology. 2, 902\u2013906 (2011). https:\/\/doi.org\/10.1109\/IFOST.2011.6021166","DOI":"10.1109\/IFOST.2011.6021166"},{"issue":"2","key":"3535_CR44","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1109\/TMC.2016.2557792","volume":"16","author":"Y Wang","year":"2017","unstructured":"Wang, Y., Wu, K., Ni, L.M.: Wifall: device-free fall detection by wireless networks. IEEE Trans. Mob. Comput. 16(2), 581\u2013594 (2017). https:\/\/doi.org\/10.1109\/TMC.2016.2557792","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"10","key":"3535_CR45","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/MCOM.2017.1700082","volume":"55","author":"S Yousefi","year":"2017","unstructured":"Yousefi, S., Narui, H., Dayal, S., Ermon, S., Valaee, S.: A survey on behavior recognition using wifi channel state information. IEEE Commun. Mag. 55(10), 98\u2013104 (2017). https:\/\/doi.org\/10.1109\/MCOM.2017.1700082","journal-title":"IEEE Commun. Mag."},{"issue":"5","key":"3535_CR46","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1007\/s10207-007-0049-3","volume":"7","author":"E A\u00efmeur","year":"2008","unstructured":"A\u00efmeur, E., Brassard, G., Fernandez, J.M., Mani Onana, F.S.: Alambic: a privacy-preserving recommender system for electronic commerce. Int. J. Inf. Secur. 7(5), 307\u2013334 (2008). https:\/\/doi.org\/10.1007\/s10207-007-0049-3","journal-title":"Int. J. Inf. Secur."},{"key":"3535_CR47","doi-asserted-by":"publisher","unstructured":"Calandrino, J.A., Kilzer, A., Narayanan, A., Felten, E.W., Shmatikov, V.: \u201cyou might also like:\u201d privacy risks of collaborative filtering. In: 2011 IEEE symposium on security and privacy, pp. 231\u2013246 (2011). https:\/\/doi.org\/10.1109\/SP.2011.40 . IEEE","DOI":"10.1109\/SP.2011.40"},{"key":"3535_CR48","doi-asserted-by":"publisher","unstructured":"McSherry, F., Mironov, I.: Differentially private recommender systems: Building privacy into the netflix prize contenders. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, pp. 627\u2013636. Association for Computing Machinery, (2009). https:\/\/doi.org\/10.1145\/1557019.1557090","DOI":"10.1145\/1557019.1557090"},{"key":"3535_CR49","doi-asserted-by":"crossref","unstructured":"Abadi, M., Chu, A., Goodfellow, I., McMahan, B., Mironov, I., Talwar, K., Zhang, L.: Deep learning with differential privacy. In: 23rd ACM conference on computer and communications security (ACM CCS), pp. 308\u2013318 (2016). arXiv:1607.00133","DOI":"10.1145\/2976749.2978318"},{"issue":"1","key":"3535_CR50","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/TAC.2016.2541298","volume":"62","author":"S Han","year":"2016","unstructured":"Han, S., Topcu, U., Pappas, G.J.: Differentially private distributed constrained optimization. IEEE Trans. Autom. Control 62(1), 50\u201364 (2016). https:\/\/doi.org\/10.1109\/TAC.2016.2541298","journal-title":"IEEE Trans. Autom. Control"},{"issue":"5","key":"3535_CR51","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1109\/MSP.2013.2259911","volume":"30","author":"AD Sarwate","year":"2013","unstructured":"Sarwate, A.D., Chaudhuri, K.: Signal processing and machine learning with differential privacy: algorithms and challenges for continuous data. IEEE Signal Process. Mag. 30(5), 86\u201394 (2013). https:\/\/doi.org\/10.1109\/MSP.2013.2259911","journal-title":"IEEE Signal Process. Mag."},{"issue":"6","key":"3535_CR52","doi-asserted-by":"publisher","first-page":"1449","DOI":"10.1109\/JSTSP.2018.2877842","volume":"12","author":"H Imtiaz","year":"2018","unstructured":"Imtiaz, H., Sarwate, A.D.: Distributed differentially private algorithms for matrix and tensor factorization. IEEE J. Selected Topics Signal Process. 12(6), 1449\u20131464 (2018). https:\/\/doi.org\/10.1109\/JSTSP.2018.2877842","journal-title":"IEEE J. Selected Topics Signal Process."},{"key":"3535_CR53","doi-asserted-by":"publisher","unstructured":"Mironov, I.: R\u00e9nyi differential privacy. In: 2017 IEEE 30th computer security foundations symposium (CSF), pp. 263\u2013275 (2017). https:\/\/doi.org\/10.1109\/CSF.2017.11 . IEEE","DOI":"10.1109\/CSF.2017.11"},{"key":"3535_CR54","doi-asserted-by":"publisher","unstructured":"Imtiaz, H., Sarwate, A.D.: Distributed differentially-private canonical correlation analysis. In: ICASSP 2019\u2014IEEE International conference on acoustics, speech and signal processing (ICASSP), Brighton, United Kingdom, pp. 3112\u20133116 (2019). https:\/\/doi.org\/10.1109\/ICASSP.2019.8683252","DOI":"10.1109\/ICASSP.2019.8683252"},{"key":"3535_CR55","doi-asserted-by":"crossref","unstructured":"T. F. Sanam and H. Godrich: Fuseloc: A CCA based information fusion for indoor localization using CSI phase and amplitude of wifi signals. In: ICASSP 2019-2019 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp. 7565\u20137569 (2019). IEEE","DOI":"10.1109\/ICASSP.2019.8683316"},{"key":"3535_CR56","doi-asserted-by":"crossref","unstructured":"T. F. Sanam and H. Godrich: An improved CSI based device free indoor localization using machine learning based classification approach. In: 2018 26th European signal processing conference (EUSIPCO), pp. 2390\u20132394 (2018). IEEE","DOI":"10.23919\/EUSIPCO.2018.8553394"},{"key":"3535_CR57","unstructured":"T. F. Sanam and H. Godrich: Comute: A convolutional neural network based device free multiple target localization using CSI. arXiv preprint arXiv:2003.05734 (2020)"},{"key":"3535_CR58","unstructured":"Google: Tensorflow Privacy. https:\/\/www.tensorflow.org\/responsible_ai\/privacy\/guide"},{"key":"3535_CR59","doi-asserted-by":"publisher","unstructured":"Dwork, C., McSherry, F., Nissim, K., Smith, A.: Calibrating noise to sensitivity in private data analysis. In: Theory of Cryptography Conference, pp. 265\u2013284 (2006). https:\/\/doi.org\/10.1007\/11681878_14 . Springer","DOI":"10.1007\/11681878_14"},{"key":"3535_CR60","doi-asserted-by":"publisher","DOI":"10.1016\/j.health.2024.100329","volume":"5","author":"TN Islam","year":"2024","unstructured":"Islam, T.N., Imtiaz, H.: A robust neural network for privacy-preserving heart rate estimation in remote healthcare systems. Healthc. Anal 5, 100329 (2024). https:\/\/doi.org\/10.1016\/j.health.2024.100329","journal-title":"Healthc. Anal"},{"key":"3535_CR61","doi-asserted-by":"publisher","DOI":"10.3390\/e25050825","author":"N Tasnim","year":"2023","unstructured":"Tasnim, N., Mohammadi, J., Sarwate, A.D., Imtiaz, H.: Approximating functions with approximate privacy for applications in signal estimation and learning. Entropy (2023). https:\/\/doi.org\/10.3390\/e25050825","journal-title":"Entropy"},{"key":"3535_CR62","first-page":"17455","volume":"34","author":"G Andrew","year":"2021","unstructured":"Andrew, G., Thakkar, O., McMahan, B., Ramaswamy, S.: Differentially private learning with adaptive clipping. Adv. Neural. Inf. Process. Syst. 34, 17455\u201317466 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"8","key":"3535_CR63","doi-asserted-by":"publisher","first-page":"2169","DOI":"10.1016\/j.patcog.2013.01.018","volume":"46","author":"V Kadappa","year":"2013","unstructured":"Kadappa, V., Negi, A.: Computational and space complexity analysis of subxpca. Pattern Recogn. 46(8), 2169\u20132174 (2013). https:\/\/doi.org\/10.1016\/j.patcog.2013.01.018","journal-title":"Pattern Recogn."},{"key":"3535_CR64","doi-asserted-by":"publisher","unstructured":"Le\u00a0Gall, F.: Algebraic complexity theory and matrix multiplication. In: Proceedings of the 39th international symposium on symbolic and algebraic computation. ISSAC \u201914, p. 23. Association for computing machinery, New York (2014). https:\/\/doi.org\/10.1145\/2608628.2627493","DOI":"10.1145\/2608628.2627493"},{"issue":"9","key":"3535_CR65","doi-asserted-by":"publisher","first-page":"11539","DOI":"10.1007\/s11227-022-04331-8","volume":"78","author":"K Stokfiszewski","year":"2022","unstructured":"Stokfiszewski, K., Wieloch, K., Yatsymirskyy, M.: An efficient implementation of one-dimensional discrete wavelet transform algorithms for GPU architectures. J. Supercomput. 78(9), 11539\u201311563 (2022)","journal-title":"J. Supercomput."},{"key":"3535_CR66","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.procs.2022.12.023","volume":"215","author":"B Shah","year":"2022","unstructured":"Shah, B., Bhavsar, H.: Time complexity in deep learning models. Proc. Comput. Sci. 215, 202\u2013210 (2022). https:\/\/doi.org\/10.1016\/j.procs.2022.12.023","journal-title":"Proc. Comput. Sci."},{"issue":"20","key":"3535_CR67","doi-asserted-by":"publisher","first-page":"17746","DOI":"10.1109\/JIOT.2023.3277592","volume":"10","author":"D Thakur","year":"2023","unstructured":"Thakur, D., Guzzo, A., Fortino, G.: Attention-based multihead deep learning framework for online activity monitoring with smartwatch sensors. IEEE Internet Things J. 10(20), 17746\u201317754 (2023). https:\/\/doi.org\/10.1109\/JIOT.2023.3277592","journal-title":"IEEE Internet Things J."},{"key":"3535_CR68","doi-asserted-by":"publisher","unstructured":"Thakur, D., Roy, S., Biswas, S., Ho, E., Chattopadhyay, S., Shetty, S.: A novel smartphone-based human activity recognition approach using convolutional autoencoder long short-term memory network, In: 2023 IEEE 24th international conference on information reuse and integration for data science (IRI), IEEE, pp. 146\u2013153 pp. 146\u2013153 (2023). https:\/\/doi.org\/10.1109\/IRI58017.2023.00032","DOI":"10.1109\/IRI58017.2023.00032"},{"issue":"6","key":"3535_CR69","doi-asserted-by":"publisher","first-page":"1176","DOI":"10.1109\/THMS.2022.3185533","volume":"52","author":"D Thakur","year":"2022","unstructured":"Thakur, D., Biswas, S.: Online change point detection in application with transition-aware activity recognition. IEEE Trans. Hum. Mach. Syst. 52(6), 1176\u20131185 (2022). https:\/\/doi.org\/10.1109\/THMS.2022.3185533","journal-title":"IEEE Trans. Hum. Mach. Syst."},{"issue":"2","key":"3535_CR70","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/MSP.2015.2489978","volume":"33","author":"F Erden","year":"2016","unstructured":"Erden, F., Velipasalar, S., Alkar, A.Z., Cetin, A.E.: Sensors in assisted living: a survey of signal and image processing methods. IEEE Signal Process. Mag. 33(2), 36\u201344 (2016). https:\/\/doi.org\/10.1109\/MSP.2015.2489978","journal-title":"IEEE Signal Process. Mag."},{"key":"3535_CR71","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2021.103247","author":"A Enis Cetin","year":"2021","unstructured":"Enis Cetin, A., Ozturk, Y., Hanosh, O., Ansari, R.: Review of signal processing applications of pyroelectric infrared (PIR) sensors with a focus on respiration rate and heart rate detection. Digit. Signal Process. (2021). https:\/\/doi.org\/10.1016\/j.dsp.2021.103247","journal-title":"Digit. Signal Process."},{"key":"3535_CR72","doi-asserted-by":"publisher","unstructured":"Yazar, A., Keskin, F., T\u00f6reyin, B.U., \u00c7etin, A.E.: Fall detection using single-tree complex wavelet transform. Pattern Recogn. Lett. 34(15), 1945\u20131952 (2013). https:\/\/doi.org\/10.1016\/j.patrec.2012.12.010","DOI":"10.1016\/j.patrec.2012.12.010"},{"key":"3535_CR73","unstructured":"Chen, W.-N., \u00d6zg\u00fcr, A., Kairouz, P.: The Poisson binomial mechanism for secure and private federated learning (2022). arXiv:org\/abs\/2207.09916"},{"key":"3535_CR74","unstructured":"Andrew, G., Thakkar, O., McMahan, H.B., Ramaswamy, S.: Differentially Private Learning with Adaptive Clipping (2022). arXiv:org\/abs\/1905.03871"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03535-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-024-03535-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03535-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T02:22:01Z","timestamp":1730686921000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-024-03535-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,2]]},"references-count":74,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["3535"],"URL":"https:\/\/doi.org\/10.1007\/s11760-024-03535-0","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-4534861\/v1","asserted-by":"object"}]},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,2]]},"assertion":[{"value":"5 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 August 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 August 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 September 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}